{"id":"https://openalex.org/W3028156525","doi":"https://doi.org/10.1145/3397271.3401169","title":"CATN","display_name":"CATN","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3028156525","doi":"https://doi.org/10.1145/3397271.3401169","mag":"3028156525"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401169","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.10549","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Cheng Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Zhao","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chenliang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenliang Li","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rong Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Xiao","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hongbo Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Deng","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":null,"display_name":"Aixin Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Aixin Sun","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":189,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"229","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7088000178337097},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.656000018119812},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6474000215530396},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5751000046730042},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5422999858856201},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.41600000858306885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541000247001648},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7088000178337097},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.656000018119812},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6474000215530396},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5751000046730042},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5422999858856201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4837999939918518},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.41600000858306885},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3312999904155731},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.3102000057697296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3061000108718872},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2964000105857849},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.25850000977516174}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3397271.3401169","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2005.10549","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.10549","pdf_url":"https://arxiv.org/pdf/2005.10549","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.10549","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.10549","pdf_url":"https://arxiv.org/pdf/2005.10549","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2114079787","https://openalex.org/W2142972908","https://openalex.org/W2152184085","https://openalex.org/W2337403844","https://openalex.org/W2600538886","https://openalex.org/W2605246672","https://openalex.org/W2740063619","https://openalex.org/W2740605635","https://openalex.org/W2742657630","https://openalex.org/W2782111139","https://openalex.org/W2798331900","https://openalex.org/W2896508241","https://openalex.org/W2897660518","https://openalex.org/W2904156528","https://openalex.org/W2907206525","https://openalex.org/W2913488954","https://openalex.org/W2962763064","https://openalex.org/W2962986764","https://openalex.org/W2964995401","https://openalex.org/W2986176093","https://openalex.org/W2987219395","https://openalex.org/W3212464519","https://openalex.org/W4288080156"],"related_works":[],"abstract_inverted_index":{"In":[0,140],"a":[1,100,152,202],"large":[2],"recommender":[3],"system,":[4],"the":[5,37,41,64,69,77,165,173,208],"products":[6],"(or":[7],"items)":[8],"could":[9],"be":[10],"in":[11,31,36,72,80,180],"many":[12],"different":[13],"categories":[14],"or":[15],"domains.":[16],"Given":[17],"two":[18],"relevant":[19,66],"domains":[20,135,200],"(e.g.,":[21],"Book":[22],"and":[23,123,130],"Movie),":[24],"users":[25,44,110,149],"may":[26],"have":[27],"interactions":[28,59],"with":[29,136],"items":[30],"one":[32,61],"domain":[33,62],"but":[34],"not":[35],"other":[38,65],"domain.":[39],"To":[40,95],"latter,":[42],"these":[43],"are":[45],"considered":[46],"as":[47],"cold-start":[48,109],"users.":[49],"How":[50],"to":[51,63,85,116,150,163,194],"effectively":[52],"transfer":[53,89,106],"users'":[54],"preferences":[55],"based":[56],"on":[57],"their":[58,127],"from":[60,93,126,147],"domain,":[67],"is":[68,114,161,192],"key":[70],"issue":[71],"cross-domain":[73,101],"recommendation.":[74],"Inspired":[75],"by":[76],"advances":[78],"made":[79],"review-based":[81],"recommendation,":[82],"we":[83,98,142],"propose":[84,99],"model":[86,191],"user":[87,122,196],"preference":[88],"at":[90,201],"aspect-level":[91],"derived":[92],"reviews.":[94],"this":[96],"end,":[97],"recommendation":[102,209],"framework":[103,160],"via":[104],"aspect":[105,132,154,197],"network":[107],"for":[108,120],"(named":[111],"CATN).":[112],"CATN":[113,175],"devised":[115],"extract":[117],"multiple":[118],"aspects":[119],"each":[121,124],"item":[125],"review":[128],"documents,":[129],"learn":[131],"correlations":[133],"across":[134,199],"an":[137,157],"attention":[138],"mechanism.":[139],"addition,":[141],"further":[143],"exploit":[144],"auxiliary":[145],"reviews":[146],"like-minded":[148],"enhance":[151],"user's":[153],"representations.":[155],"Then,":[156],"end-to-end":[158],"optimization":[159],"utilized":[162],"strengthen":[164],"robustness":[166],"of":[167,182,205],"our":[168,190],"model.":[169],"On":[170],"real-world":[171],"datasets,":[172],"proposed":[174],"outperforms":[176],"SOTA":[177],"models":[178],"significantly":[179],"terms":[181],"rating":[183],"prediction":[184],"accuracy.":[185],"Further":[186],"analysis":[187],"shows":[188],"that":[189],"able":[193],"reveal":[195],"connections":[198],"fine":[203],"level":[204],"granularity,":[206],"making":[207],"explainable.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":51},{"year":2023,"cited_by_count":49},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":16},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2020-05-29T00:00:00"}
